Copyright
©The Author(s) 2024.
World J Clin Pediatr. Dec 9, 2024; 13(4): 98472
Published online Dec 9, 2024. doi: 10.5409/wjcp.v13.i4.98472
Published online Dec 9, 2024. doi: 10.5409/wjcp.v13.i4.98472
Variable | Category | Acyanotic | Cyanotic | Variable | Category | Acyanotic | Cyanotic |
Gender | Female | 1258 (46.4) | 518 (45.5) | Father’s education | Uneducated | 1102 (40.7) | 702 (59.0) |
Male | 1452 (53.6) | 672 (54.5) | Primary/middle | 1220 (45.0) | 354 (29.7) | ||
Diabetes | No | 1734(64.0) | 710 (59.7) | Secondary/higher | 326 (12.0) | 118 (9.9) | |
Yes | 976 (36.0) | 480 (40.3) | Graduate | 52 (1.9) | 12 (1.0) | ||
Smoking | No | 1318 (48.6) | 664 (55.8) | Masters or higher | 10 (0.4) | 4 (0.3) | |
Yes | 1392 (51.4) | 526 (44.2) | Father’s occupation | Dead/ unemployed | 4 (0.1) | 4 (0.3) | |
Family History | No | 858 (31.7) | 510 (42.9) | Labour/former | 1866 (68.9) | 826 (69.4) | |
Yes | 1852 (68.3) | 680 (57.1) | Private job | 194 (7.2) | 20 (1.7) | ||
Anemia during pregnancy | No | 2598 (95.9) | 1150 (96.6) | Small business | 620 (22.9) | 328 (27.6) | |
Yes | 112 (4.1) | 40 (3.4) | Civil servant | 26 (1.0) | 12 (1.0) | ||
Inactive | No | 800 (29.5) | 342 (28.7) | Area | Rural | 1604 (59.2) | 878 (73.8) |
Yes | 1910 (70.5) | 848 (71.3) | Urban | 1106 (40.8) | 312 (26.2) | ||
Fast food during pregnancy | No | 1356 (50.0) | 486 (40.8) | Home environment | Poor | 1650 (60.9) | 518 (43.5) |
Yes | 1354 (50.0) | 704 (59.2) | Normal | 590 (21.8) | 400 (33.6) | ||
Low-calorie food during pregnancy | No | 1036 (38.2) | 472 (39.7) | Good | 470 (17.3) | 272(22.9) | |
Yes | 1674 (61.8) | 718 (60.3) | Health condition | Poor | 602 (22.2) | 402 (33.8) | |
Nutrition during pregnancy | Poor | 1558 (57.5) | 492 (41.3) | Normal | 1660 (61.3) | 522 (43.9) | |
Normal | 532 (19.6) | 382 (32.1) | Good | 448 (16.5) | 266 (22.4) | ||
Good | 620 (22.9) | 316 (26.6) | Interaction with partner during pregnancy | Poor | 1592 (58.7) | 498 (41.8) | |
Staple food during pregnancy | No | 1720 (63.5) | 692 (58.2) | Normal | 558 (20.6) | 392 (32.9) | |
Yes | 990 (36.5) | 498 (41.8) | Good | 560 (20.7) | 300 (25.2) | ||
Income | < 10000 | 20 (0.70) | 18 (1.5) | Health care quality | Poor | 1540 (56.8) | 506 (42.5) |
10000 to 20000 | 2076 (76.6) | 956 (80.3) | Normal | 660 (24.4) | 414 (34.8) | ||
> 20000 | 614 (22.7) | 216(18.2) | Good | 510 (18.8) | 270 (22.7) | ||
Mother’s education | Uneducated | 1492 (55.1) | 690 (58.0) | Health care access | No | 2034 (75.1) | 770 (64.7) |
Primary/middle | 1002 (37.0) | 404 (33.9) | Yes | 676 (24.9) | 420 (35.3) | ||
Secondary/higher | 200 (7.4) | 90 (7.6) | Housing tenure | Owned | 2628 (97.0) | 1164 (97.8) | |
Graduate | 8 (0.3) | 6 (0.5) | Rented | 82 (3.0) | 26 (2.2) | ||
Masters or higher | 8 (0.3) | 0 (0.0) | Housing condition | Poor | 630 (23.2) | 528 (44.4) | |
Normal | 1742 (64.3) | 548 (46.1) | |||||
Good | 338 (12.5) | 114 (9.6) |
- Citation: Shahid S, Khurram H, Lim A, Shabbir MF, Billah B. Prediction of cyanotic and acyanotic congenital heart disease using machine learning models. World J Clin Pediatr 2024; 13(4): 98472
- URL: https://www.wjgnet.com/2219-2808/full/v13/i4/98472.htm
- DOI: https://dx.doi.org/10.5409/wjcp.v13.i4.98472